Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity

von Cullen, Andrew
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 25 of 50 (2023)

Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets

von Zhou, Jiahui
Veröffentlicht in PAKDD (27. : 2023 : Osaka; Online) Advances in knowledge discovery and data mining ; Part 1 (2023)

Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection

von Nguyen, Van
Veröffentlicht in PAKDD (24. : 2020 : Online) Advances in knowledge discovery and data mining ; Part 1 (2020)

Improving Adversarial Robustness by Enforcing Local and Global Compactness

von Bui, Anh
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 27 (2020)

Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection

von Nguyen, Tuan
Veröffentlicht in PAKDD (24. : 2020 : Online) Advances in knowledge discovery and data mining ; Part 2 (2020)

Code Action Network for Binary Function Scope Identification

von Nguyen, Van
Veröffentlicht in PAKDD (24. : 2020 : Online) Advances in knowledge discovery and data mining ; Part 1 (2020)